mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-04-28 02:11:50 +00:00
bitnet: add 2 bpw quantization
The scalar dot product already chieves 37 t/s for TG!
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@@ -341,6 +341,10 @@ int main(int argc, char ** argv) {
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if (!layer_included(params, kv_tensor.first)) {
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continue;
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}
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if (kv_tensor.second->ne[0] == 1 || kv_tensor.second->ne[1] == 1) {
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// we never quantize those
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continue;
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}
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if (params.verbose) {
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printf("%s: type %s, size %" PRId64 "\n", kv_tensor.first.c_str(), ggml_type_name(kv_tensor.second->type), ggml_nelements(kv_tensor.second));
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}
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@@ -386,6 +390,10 @@ int main(int argc, char ** argv) {
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if (!layer_included(params, kv_tensor.first)) {
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continue;
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}
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if (kv_tensor.second->ne[0] == 1 || kv_tensor.second->ne[1] == 1) {
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// we never quantize those
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continue;
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}
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if (params.verbose) {
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printf(" %s ...\n", kv_tensor.first.c_str());
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}
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@@ -27,6 +27,7 @@ static const std::vector<struct quant_option> QUANT_OPTIONS = {
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{ "IQ1_S", LLAMA_FTYPE_MOSTLY_IQ1_S, " 1.56 bpw quantization", },
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{ "IQ1_M", LLAMA_FTYPE_MOSTLY_IQ1_M, " 1.75 bpw quantization", },
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{ "IQ1_BN", LLAMA_FTYPE_MOSTLY_IQ1_BN, " 1.75 bpw quantization (Bitnet)", },
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{ "IQ2_BN", LLAMA_FTYPE_MOSTLY_IQ2_BN, " 2.00 bpw quantization (Bitnet)", },
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{ "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.63G, +0.6717 ppl @ LLaMA-v1-7B", },
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{ "Q2_K_S", LLAMA_FTYPE_MOSTLY_Q2_K_S, " 2.16G, +9.0634 ppl @ LLaMA-v1-7B", },
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{ "IQ3_XXS",LLAMA_FTYPE_MOSTLY_IQ3_XXS," 3.06 bpw quantization", },
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